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Detection of digital doctoring in exemplar-based inpainted images

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5 Author(s)
Qiong Wu ; College of Information System and Management, National University of Defense Technology, Changsha 410073, China ; Shao-Jie Sun ; Wei Zhu ; Guo-Hui Li
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Exemplar-based inpainting technique can be used to remove objects from an image and play visual tricks, which would affect the authenticity of images. In this paper, a blind detection method based on zero-connectivity feature and fuzzy membership is proposed to detect the specific doctoring. Firstly, zero-connectivity labeling is applied on block pairs to yield matching degree feature for all blocks in the region of suspicious, and fuzzy memberships are computed by constructing ascending semi-trapezoid membership function. Then the tampered regions are identified by a cut set. A num of natural and inpainted forged images are used to show the effectiveness of our method in detecting digital doctoring.

Published in:

2008 International Conference on Machine Learning and Cybernetics  (Volume:3 )

Date of Conference:

12-15 July 2008